Why We Don’t Use AI-Generated Content at Scale
There’s a real and growing pattern in contractor SEO: agencies using AI content generators to produce bulk pages, often dozens at a time, for contractor clients. It’s fast, cheap, and increasingly easy to sell. We don’t do it — and the reason matters for understanding what you’re actually buying when you hire an SEO agency.
What mass-produced AI content typically looks like
The pattern is predictable once you know what to look for:
- A contractor website suddenly has 50 new pages — city pages, service pages, FAQ pages — all published within a few weeks
- The content reads smoothly but is vague: “we provide quality kitchen remodeling services to homeowners in the [area]” — no specific materials, no real project details, no genuine expertise signals
- The pages are interchangeable: the Denver kitchen remodeling page and the Scottsdale kitchen remodeling page are structurally identical with city names swapped
- There are no specific claims that could be verified — no “we specialize in semi-custom cabinetry” or “most of our bathroom work is in homes built between 1970 and 1995,” just generic descriptions of generic services
Why it underperforms
Mass-produced AI content fails for contractor SEO for two distinct reasons:
1. Google’s spam systems are increasingly effective at detecting it
Google’s helpful content system and spam policies have both become more sophisticated at identifying content that exists for search engines rather than users. Thin, interchangeable pages — regardless of whether they were written by a human or an AI — are exactly what these systems are designed to catch. Contractors who invested in mass AI content in 2023–2024 are increasingly seeing ranking declines as these systems improve.
2. It doesn’t convert
A homeowner evaluating who to trust with a $30,000 kitchen remodel reads your content. They can tell the difference between a page that says “we provide quality kitchen remodeling services” and one that says “we specialize in open-concept kitchen layouts for 1980s ranches and colonials, using semi-custom cabinetry and quartz or quartzite countertops — see our recent project in [neighborhood].”
The first doesn’t tell them anything they couldn’t learn from every competitor’s website. The second gives them something specific to evaluate and trust. AI content, at scale, produces the first. Human expertise produces the second.
What we do instead
Every piece of content we build starts from:
- Real knowledge of the trade. Kitchen remodeling, bathroom remodeling, and general contractor work have specific terminology, specific decision points, and specific buyer concerns. Content written by someone who understands this reflects it.
- Real knowledge of the market. A bathroom remodeler in a 1970s housing stock market faces different content opportunities than one in a new-construction suburb. Generic content ignores this.
- A specific intent for each page. Every page we build has a defined search intent target and a defined conversion goal — not a keyword stuffed into a template.
This takes longer. It costs more. It also produces content that actually ranks, actually converts, and doesn’t expose a client to a penalty when Google’s spam detection improves again in six months.
How to spot mass-produced content in a competitor’s proposal
Ask them for an example of content they’ve written for a kitchen remodeling client. Read it carefully. Does it say anything specific about kitchen remodeling that couldn’t apply equally to any other contractor? Does it mention specific materials, specific project types, specific local context? If the content is interchangeable with any other trade in any other city, it was produced for volume, not value.
Want to see what real contractor content looks like in practice?
Free audit — we’ll show you examples of the kind of content that actually ranks and converts for contractors in your trade.
